Learning Representations For Images With Hierarchical Labels

1 code implementation • 2 Apr 2020 • Ankit Dhall

Image classification has been studied extensively but there has been limited work in the direction of using non-conventional, external guidance other than traditional image-label pairs to train such models.

General Classification Image Classification

Hierarchical Image Classification using Entailment Cone Embeddings

1 code implementation • 2 Apr 2020 • Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause

Image classification has been studied extensively, but there has been limited work in using unconventional, external guidance other than traditional image-label pairs for training.

Classification General Classification +2

AMZ Driverless: The Full Autonomous Racing System

4 code implementations • 13 May 2019 • Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart

This paper presents the algorithms and system architecture of an autonomous racecar.

Robotics

Real-time 3D Traffic Cone Detection for Autonomous Driving

2 code implementations • 6 Feb 2019 • Ankit Dhall, Dengxin Dai, Luc van Gool

In this work, we leverage the unique structure of traffic cones and propose a pipelined approach to the problem.

3D Object Detection Autonomous Driving +3

Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar

no code implementations • 27 Sep 2018 • Ankit Dhall

We propose a complete pipeline that allows object detection and simultaneously estimate the pose of these multiple object instances using just a single image.

3D Pose Estimation Object +2

LiDAR-Camera Calibration using 3D-3D Point correspondences

5 code implementations • 27 May 2017 • Ankit Dhall, Kunal Chelani, Vishnu Radhakrishnan, K. M. Krishna

With the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors.

Autonomous Vehicles Camera Calibration +1

On Optimizing Human-Machine Task Assignments

no code implementations • 24 Sep 2015 • Andreas Veit, Michael Wilber, Rajan Vaish, Serge Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Anurag. D. Yadav

When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers.